用于早期检测帕金森病的电化学生物传感器

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Seyyed Hossein Khatami , Hamed Khanifar , Ahmad Movahedpour , Mortaza Taheri-Anganeh , Sajad Ehtiati , Hadi Khanifar , Amir Asadi
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引用次数: 0

摘要

帕金森病(PD)是一种影响运动系统的进行性神经退行性疾病,症状包括震颤、僵直、运动迟缓和姿势不稳。帕金森病的病理生理学特征是黑质中多巴胺能神经元的丧失,全球有 600 多万帕金森病患者。早期诊断是有效治疗的关键,但目前的方法因灵敏度低、成本高和需要先进设备而受到限制。电化学生物传感器将生物反应转化为可测量的电信号,用于评估帕金森病生物标志物,已成为帕金森病早期诊断的理想工具。纳米技术和材料科学的进步带来了具有更高灵敏度和选择性的创新传感平台。α-突触核蛋白(α-syn)、多巴胺(DA)和微RNA(miRNA)等关键生物标志物已成为这些生物传感器的靶标。例如,金纳米粒子修饰的石墨烯免疫传感器显示出对 α-syn 的超灵敏检测,而基于石墨烯的生物传感器则显示出对 DA 的高灵敏度检测。此外,miR-195 的纳米生物传感器和电化学诱导传感器也显示出了早期 PD 诊断的潜力。金纳米粒子、量子点和碳纳米管等纳米材料的集成进一步推动了这一领域的发展,提高了电化学活性和灵敏度。这些发展为早期帕金森病诊断提供了一种可靠、快速和经济有效的方法,为更好的管理和治疗铺平了道路。持续的研究对于这些生物传感器的商业化和临床整合至关重要,最终将改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrochemical biosensors in early detection of Parkinson disease
Parkinson’s disease (PD) is a progressive neurodegenerative disorder affecting the motor system, with symptoms including tremors, rigidity, bradykinesia, and postural instability. Affecting over six million people globally, PD’s pathophysiology is marked by the loss of dopaminergic neurons in the substantia nigra. Early diagnosis is crucial for effective management, yet current methods are limited by low sensitivity, high cost, and the need for advanced equipment. Electrochemical biosensors have emerged as promising tools for early PD diagnosis, converting biological reactions into measurable electrical signals for evaluating PD biomarkers. Advances in nanotechnology and material science have led to innovative sensing platforms with enhanced sensitivity and selectivity. Key biomarkers such as alpha-synuclein (α-syn), dopamine (DA), and microRNAs (miRNAs) have been targeted using these biosensors. For instance, gold nanoparticle-modified graphene immunosensors have shown ultra-sensitive detection of α-syn, while graphene-based biosensors have demonstrated high sensitivity for DA detection. Additionally, nanobiosensors for miR-195 and electrochemical aptasensors have shown potential for early PD diagnosis. The integration of nanomaterials like gold nanoparticles, quantum dots, and carbon nanotubes has further advanced the field, enhancing electrochemical activity and sensitivity. These developments offer a reliable, rapid, and cost-effective approach for early PD diagnosis, paving the way for better management and treatment. Continued research is essential for the commercialization and clinical integration of these biosensors, ultimately improving patient outcomes.
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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